Chapter 19 - Chapter 19 Confidence Intervals for Proportion...

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Chapter 19 Confidence Intervals for Proportion ActivStats: 19 Read: Chapter 19 Estimation: Point estimation - produces a number (an estimate ) which is believed to be close to the value of unknown parameter. For example a conclusion can be that "p is approximately 0.46" μ is approximately 20.5” Point Estimators Parameter Estimator Proportion p p ˆ Mean μ x Standard Deviation σ s Interval estimation - produces an interval that contains the estimated parameter with a prescribed confidence . A confidence interval often has the form point estimate ± margin of error (ME) For example a conclusion can be that "we are 95% confident that p is between 43% and 49%" or "a 95% confidence interval for p is 46 3 percent" or "p is approximately 46%, and a 95% margin of error is 3%"
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Given a confidence level C%, the critical value c* is the number so that the area under the proper curve and between -c * and c* is C (in decimals) For standard normal distribution the critical values
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This note was uploaded on 07/25/2008 for the course STT 200 taught by Professor Dikong during the Summer '08 term at Michigan State University.

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Chapter 19 - Chapter 19 Confidence Intervals for Proportion...

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